Role Description AKIVA is seeking a senior engineer with strong computer science and data engineering depth to lead development, maintenance, and enhancement of safety analytics and database tools for the FAA Air Traffic Organization. You will work across SQL and noSQL databases, web applications, and analytical workflows that power Safety Risk Management, Top Safety Priorities, and the Safety Management Tracking System (SMTS). The role is hands-on technical and policy-aware: it suits a senior software engineer or data engineer who is comfortable producing safety-grade code, dashboards, and reports that brief FAA executives. Key Responsibilities - Develop, test, and maintain reporting capabilities for FAA safety databases and tools, including the Safety Management Tracking System (SMTS), the Independent Safety Assessment Information System, the In-Service Review Checklist Tool, and the Systematic Air Traffic Operations Research Initiative (SATORI) playback system. - Build and maintain databases and tools related to requirements, evidence, findings, corrective actions, and priorities using SQL (Oracle, SQL Server), noSQL, Microsoft Access, ColdFusion, Java, Python, C++, and Bootstrap. - Implement access protections for external organizations to maintain audit data with appropriate access permissions. - Retrieve, transform, and convert documentation between source systems and required formats (Excel, PowerPoint, Word, PDF). - Perform quantitative analysis for risk estimates, including data identification, data merging, preprocessing, statistical modeling, supervised learning (classification, regression), unsupervised learning (clustering, anomaly detection), and collision risk analysis. - Support the Barrier Analysis Review process, including report development and qualitative analysis. - Develop and validate code and testing software, including machine-learning and statistical models; verify fulfillment of requirements, suitability/effectiveness, data integrity, and accuracy of analyses. - Build and maintain dashboards, web content, and graphical analytics that present safety information to FAA executives. - Maintain, develop, and propose enhancements for SMTS, including system administration, data migration from legacy systems, and streamlined data-entry business processes. - Develop, test, implement, and maintain SATORI playback capabilities supporting litigation, search and rescue, training, quality assurance, pilot inquiries, and trend analysis. - Apply ATO Common Taxonomy to existing Safety Risk Management efforts in SMTS and analyze SMTS data to identify trends and tracking issues. - Ensure all deliverables are Section 508 compliant. Qualifications - Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field. - 8+ years of professional experience in software engineering or data engineering. - 5+ years building and maintaining production database and analytics applications, including hands-on SQL development on Oracle and/or SQL Server. - Demonstrated experience with Python (data analysis, machine learning) and Java. - Demonstrated experience with statistical modeling, supervised and unsupervised learning, and applied data visualization. - Experience integrating, migrating, and reconciling data across legacy and modern systems. - Strong written and verbal communication skills and ability to engage directly with technical and policy stakeholders. - Ability to obtain and maintain a federal Personal Identity Verification (PIV) credential. - Must be authorized to work in the United States. Preferred Qualifications - Master's degree in Computer Science, Data Science, Operations Research, or related discipline. - AWS, Azure, or GCP certifications; Snowflake, Databricks, or comparable platform credentials. - Prior FAA Air Traffic Organization or aviation-safety analytics experience. - Familiarity with SMTS, IIS, ICT, and SATORI. - Experience with ColdFusion and C++ in legacy government systems. - Section 508 Trusted Tester certification. - Familiarity with AI-assisted code generation, data-validation, and anomaly-detection tools. Tools, Technologies & Frameworks - Languages: Python, Java, C++, SQL, JavaScript - Databases: Oracle, SQL Server, Microsoft Access, noSQL - Web: ColdFusion, Bootstrap, REST APIs - Analytics: pandas, scikit-learn, statistical modeling, machine learning - Visualization: Tableau, Power BI, custom dashboards - Standards: Section 508, FAA AMS, ATO SMS Benefits - 401(k) - 401(k) matching - Bonus based on performance - Competitive salary - Dental insurance - Donation matching - Health insurance - Opportunity for advancement - Paid time off - Profit sharing - Training & development - Tuition assistance - Vision insurance - Wellness resources

Title: Analytics Engineer Location: Redmond United States Job Description: Job#: 3032659 Job Description: SENIOR ANALYTICS ENGINEER We're looking for a Senior Analytics Engineer to join the Player and Data Analytics team. In this role, you will build robust pipelines, well-crafted data models, and innovative data products to drive impactful outcomes. You will craft solutions which level up our Creator programs to deliver new and amazing experiences for Players. You are a critical thinker who will combine their technical expertise with a deep understanding of the business to deliver solutions which transform signals into actionable insights and data products. We prioritize security, data quality, reliability, and usability to ensure stakeholder confidence in our solutions. You'll partner closely with data scientists, analysts, data engineers, and game teams to understand needs, align on definitions, and deliver at the pace of the business. Our team embraces a growth mindset, takes on hard problems, and continuously levels up. Responsibilities - Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access. - Identify and analyze multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfills the analytics requirements. - Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs. - Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information. - Advance our infrastructure by developing and using frameworks, reusable components and new capabilities to achieve our mission. - Develop enterprise grade data-serving API endpoints and underlying data products, analytics solutions, and infrastructure. Required Qualifications - Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work - Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work o OR equivalent experience. - 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems. - Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow (Azure experience preferred) - Proficiency with SQL; Advanced skills with Python for data transformation and automation - Backend development experience building secure and performant enterprise grade APIs (Azure experience preferred) Preferred Qualifications - Critical thinker and problem solver who brings a creative and open mindset. - A proven track record building and optimizing analytic solutions and data products which deliver significant business impact. - Data analysis and exploration skills to identify, select and prepare data for analytics. - Business acumen to address business challenges through analytics engineering. - Working knowledge of DevOps and DataOps. - Video game domain knowledge is important - as an experienced Player or industry veteran. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Employee Type: Contract Remote: Yes Location: Redmond, WA, US Job Type: Date Posted: April 30, 2026 Pay Range: $75 - $78 per hour Similar Jobs - Analytics Engineer - Analytics Consultant - Data Science and Analytics - Real Estate Analytics Lead - Senior Manager Marketing Analytics

• Partner with product, business, and engineering teams to identify data needs, define metrics, and enable data-driven decision making • Design, build, and own scalable data pipelines and data models that power analytics, reporting, and product insights • Develop and maintain core datasets for financial and usage behavioral analytics, enabling deep understanding of customer behavior, product adoption, and business performance • Help define, instrument, and validate product and business metrics, including those exposed in customer-facing dashboards • Drive improvements in data quality, reliability, and observability, including ownership of SLAs for critical pipelines • Collaborate with engineering teams to evolve data models alongside product changes • Contribute to the definition of our analytics layer (e.g., dbt models, semantic layer, metric definitions) • Create and maintain clear technical documentation and data contracts

Role Description Under the direction of data & analytics engineering leadership, the Analytics Engineer II will own and operationalize analytics artifacts for one or more domains (e.g. pharmacy, pediatrics service line, supply chain), build and maintain metrics stores/semantic layers, improve reuse and performance of data models, and enable domain adoption in a federated model. This role will work closely with operational stakeholders, product team members, and data stewards to ensure successful delivery of analytics products that support business goals. - Prepare and model analytically ready datasets. - Implement and maintain semantic layers, metrics stores or data marts. - Apply data engineering best practices to analytics (version control, CI/CD, environment management). - Collaborate with BI analysts, data scientists and domain stakeholders to operationalize analytics products. - Ensure alignment with governance and data quality requirements. Qualifications - At least 3 years in analytics/data roles with demonstrated delivery of analytics artifacts. - Experience with dbt or other analytics engineering tools. - Hands-on CI/CD and orchestration tool usage. - At least 3 years advanced SQL, dbt or equivalent transformation frameworks. - Familiarity with metrics store concepts and knowledge-graph/ontology basics for semantic enrichment where applicable. - At least 3 years ability to implement CI/CD for analytics, automated testing, environment promotion and metadata/catalog integration. - At least 3 years proficiency with at least one cloud data platform (Snowflake, Databricks, MS Fabric) and BI tool optimizations (Power BI/Tableau performance tuning). - At least 1 year exposure to machine learning, data science, or artificial intelligence concepts preferred. - At least 1 year experience working in healthcare or other regulated industry preferred. Requirements - Four-year Bachelor's degree or equivalent experience in Computer Science, MIS, Engineering, or related field required. - Analytics related certifications (e.g. Dbt Analytics Engineering, Microsoft Fabric Analytics Engineer Associate, Snowflake SnowPro, Databricks, Epic Cogito) or a learning plan requirement to be provided with offer includes missing relevant certifications needed to perform role, and certifications must be obtained within 180 days of starting first class. Benefits - Employee portion of medical plan premiums are covered after 3 years. - 4%-10% employee savings plan match based on tenure. - Paid Parental Leave (up to 12 weeks). - Caregiver Leave. - Adoption and surrogacy reimbursement.